Guifang Wu

Sufficient Learning for Label Noise with Dual-Regularization

DNNs inevitably over-fits to label noisy sample, resulting in poor generalization. To mitigate the influence of label noise, Co-teaching based methods tend to select potentially clean data as the training samples based on small-loss criterion. However, the small-loss criterion cannot guarantee the p…